Recent advances in wearable technologies and digital health have increased interest in multimodal sensing approaches for monitoring neuromuscular function during human movement. In this context, mechanomyography (MMG) has gained renewed attention as a non-invasive technique capable of capturing the mechanical manifestations of muscle activity, particularly through the use of miniaturized piezoelectric sensors for wearable applications. Within this framework, the present thesis investigates the feasibility and physiological plausibility of a multimodal sensing system integrating surface electromyography (sEMG), inertial measurement units (IMU), and an aluminum nitride (AlN)-based piezoelectric MMG sensor developed at the Istituto Italiano di Tecnologia – Center for Biomolecular Nanotechnologies. The study explores whether the proposed sensor can provide meaningful information on muscle mechanical behavior and its relationship with conventional electrical activity.